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#1

Opening announcement

#2

Opening reception

#3

Navigating intellectual disagreement I

#4

Planning Under Uncertainty

#5

How to change your mind

#6

Tactics and Strategies for Cooperative Conversation

#7

Explaining concepts well

#8

Opening Keynote

#9

Philanthropy and Technology

#10

Lunch

#11

The End of Poverty

#12

Opening: The end of poverty

#13

Opening: Philanthropy and technology

#14

Coffee & Snacks

#15

Dinner [off campus]

#16

Doing philanthropy better: Q&A with Cari Tuna

#17

How much evidence is enough?

#18

Q&A with Philip Tetlock

#19

Earning Influence with Thought Leaders

#20

Infinite ethics

#21

Registration

#22

The replication crisis: How widespread is it and should it affect our plans?

#23

Mindfulness Meditation for Effective Altruists

#24

Big Data & Machine Learning in Public Policy

#25

Prioritisation frameworks

#26

Engineering Revolutions

#27

Virtue-signaling: From evolved trait-display to conspicuously effective altruism

#28

MIRI - Using machine learning to address AI risk

#29

Beyond Malaria

#30

Hamming Circles

#31

Career choice panel: research, policy or earning to give?

#32

Avian cognition and consciousness: The gray parrot and its implications on animal welfare

#33

Closing Talk

#34

Risks and Benefits of Advanced AI

#35

From Behavioral Economics to Public Policy

#36

Forecasting and Predictions

#37

Lunch

#38

Basic Income: The GiveDirectly Experiment

#39

Creating Effective Policies

#40

Cass Sunstein Q&A

#41

Concrete Problems in AI Safety

#42

Government Driven Science & Technology

#43

Applied Forecasting: Improving Organisational Decision Making

#44

Rethinking Meat and the End of Factory Farming

#45

Aggregating Knowledge

#46

Predicting the Future of Technology

#47

Data-driven movement building panel

#48

Flowthrough Effects

#49

Scalable Solutions to Mental Health

#50

Leveraging evidence to shape government policy and programs at scale